research
∙
01/30/2023
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
Learning decompositions of expensive-to-evaluate black-box functions pro...
share
research
∙
09/02/2022
Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training
Centralised training (CT) is the basis for many popular multi-agent rein...
research
∙
05/31/2022
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
Many real-world settings involve costs for performing actions; transacti...
research
∙
03/19/2022
